scholarly journals The Sources of Wage Variation: A Three-Way High-Dimensional Fixed Effects Regression Model

2013 ◽  
Author(s):  
Sónia Manuela Torres ◽  
Pedro Portugal ◽  
John T. Addison ◽  
Paulo Guimaraes
Keyword(s):  
Regression Model ◽  
Fixed Effects ◽  
High Dimensional ◽  
Wage Variation ◽  
Fixed Effects Regression

scholarly journals Bank-specific, Industry-specific and Macroeconomic Determinants of Banks Profitability: Empirical Evidence from Tanzania

2016 ◽  
Vol 3 (2) ◽  
pp. 100 ◽  
Author(s):  
Saganga Mussa Kapaya ◽  
Gwahula Raphael
Keyword(s):  
Regression Model ◽  
Fixed Effects ◽  
Capital Adequacy ◽  
Market Development ◽  
Return On Equity ◽  
Net Interest Margin ◽  
Financial Market Development ◽  
Fixed Effects Regression ◽  
Macroeconomic Determinants ◽  
Loan Losses

The study analyzed effects of bank-specific, industry-specific and macroeconomic determinants on banks profitability. It used a maximum of 350 firm-years, from 52 banks from 1998 to 2010 in Tanzania. It did proxy profitability using return on asset (ROA), return on equity (ROE) and net interest margin (NIM). The static fixed effects regression model indicated that; credit facilities (CFA), capital adequacy (TEA), credit risk (CFR), diversification ratio (DIV), bank risk (BAR) and financial market development (MCAd) were significantly influencing ROA. The dynamic fixed effects regression model indicated that lagged ROA, TEA, loan losses provisions (PLT) and BAR, were significantly influencing ROA.

Unsystematic Risk Factors and Mortgage Non- Performing Loans in Kenya: Evidence from Commercial Banks

2020 ◽  
pp. 22-31
Author(s):  
Loice Koskei
Keyword(s):  
Risk Factors ◽  
Regression Model ◽  
Commercial Banks ◽  
Fixed Effects ◽  
Secondary Data ◽  
National Bureau ◽  
Mortgage Loans ◽  
Fixed Effects Panel Regression ◽  
Fixed Effects Regression ◽  
Mortgage Defaults

Commercial banks face severe challenges relating to their processes due to variations in the financial system. Identifying methods for reducing mortgage defaults and reducing the level of nonperforming loans is very important. Mortgage defaults occur because of complex factors. The amounts of mortgage non-performing loans depend on unsystematic risk factors which have an effect on mortgage loans of commercial banks. The stronger the effect of such factors, the less useful is diversification across a large number of borrowers and the stronger are the fluctuations in portfolio losses over time. The study looked at unsystematic factors and mortgage non-performing loans in Kenya’s commercial banks. Annual panel secondary data spanning from 2014 to 2019 was obtained from the Central bank of Kenya, Banking Supervision report and Kenya National Bureau of Statistics. The six year period was chosen because of availability of Mortgage secondary data. A panel fixed effects regression model was employed to address the objective of this study. The fixed effects panel regression model results indicated that capital asset ratio and lending rate had negative and statistically insignificant effect on Mortgage non-performing. Loans to deposit ratio and bank size results indicated a positive and statistically significant effect on mortgage non-performing loans implying that loans to deposit ratio and bank size affects mortgage non-performing loans in Kenya’s commercial banks. ROA results indicated a negative but statistically significant effect on mortgage non-performing loans. The study recommended enactment of internal policies by banks in regard to unsystematic factors in order to minimize the surge in mortgage non-performing loans especially in Kenya.

Ridership Ramp-Up? Initial Ridership Variation on New Rail Transit Projects

2019 ◽  
Vol 2673 (10) ◽  
pp. 82-91 ◽  
Author(s):  
Jill Elizabeth Shinn ◽  
Carole Turley Voulgaris
Keyword(s):  
United States ◽  
Performance Evaluation ◽  
Regression Model ◽  
Empirical Analysis ◽  
Fixed Effects ◽  
The United States ◽  
Rail Transit ◽  
Short Term ◽  
And Performance ◽  
Fixed Effects Regression

Conventional wisdom within the transit industry suggests that measuring the performance of a transit project immediately after project opening may not capture all the project’s benefits, since it takes time for a project to realize its short-term ridership potential, a process commonly referred to as ridership ramp-up. Though this idea is both intuitive and appealing, especially for projects that seem to be underperforming in their initial years, there is a need for empirical analysis to determine the typical magnitude and extent of ridership ramp-up to better account for ramp-up in ridership forecasting and transit project evaluation. The purpose of this study was to meet this need by evaluating variations in ridership in the initial years after project opening for 55 rail transit projects in the United States. We applied a fixed-effects regression model to predict 1-year increases in ridership in each of the first 5 years after project opening, controlling for variation in gas prices, population, income, and unemployment. We found highly variable and statistically significant increases in ridership in the first 2 years after project opening that may be attributable to ridership ramp-up. These findings could support decisions about how to account for ridership ramp-up in forecasting and performance evaluation for rail transit projects.

scholarly journals A New Framework for Estimation of Unconditional Quantile Treatment Effects: The Residualized Quantile Regression (RQR) Model

2021 ◽  
Author(s):  
Nicolai T. Borgen ◽  
Andreas Haupt ◽  
Øyvind N. Wiborg
Keyword(s):  
Quantile Regression ◽  
Regression Model ◽  
Fixed Effects ◽  
Treatment Effects ◽  
Continuous Treatment ◽  
High Dimensional ◽  
Treatment Variable ◽  
Quantile Regression Model ◽  
Quantile Treatment Effects ◽  
New Framework

The identification of unconditional quantile treatment effects (QTE) has become increasingly popular within social sciences. However, current methods to identify unconditional QTEs of continuous treatment variables are incomplete. Contrary to popular belief, the unconditional quantile regression model introduced by Firpo, Fortin, and Lemieux (2009) does not identify QTE, while the propensity score framework of Firpo (2007) allows for only a binary treatment variable, and the generalized quantile regression model of Powell (2020) is unfeasible with high-dimensional fixed effects. This paper introduces a two-step approach to estimate unconditional QTEs where the treatment variable is first regressed on the control variables followed by a quantile regression of the outcome on the residualized treatment variable. Unlike much of the literature on quantile regression, this two-step residualized quantile regression framework is easy to understand, computationally fast, and can include high-dimensional fixed effects.

The Impact of the European Grapevine Moth on Grape Production: Implications for Eradication Programs

2020 ◽  
Vol 15 (4) ◽  
pp. 394-402
Author(s):  
German Puga ◽  
Wendy Umberger ◽  
Alejandro Gennari
Keyword(s):  
Regression Model ◽  
Fixed Effects ◽  
New World ◽  
European Grapevine Moth ◽  
Grapevine Moth ◽  
Fixed Effects Regression ◽  
The Impact ◽  
Jel Classifications

AbstractThe European grapevine moth is one of the most pertinent viticulture pests. In recent years, the moth extended to New World countries, some of which started eradication programs. We used a dataset for Mendoza and a county-fixed effects regression model to estimate the impact of the moth on grape production across the province's counties. Our results suggest that the moth led to a decrease of up to 8% of Mendoza's grape production; however, this may have been worse without strong eradication efforts. We conclude that moth eradication programs may be economically justified in Argentina, and perhaps in other countries. (JEL Classifications: Q10, Q18, C23)

scholarly journals How aspiration and expectation shortfalls drive strategic investments

2021 ◽  
Vol 19 (1) ◽  
pp. 470-476
Author(s):  
Jan Mammen
Keyword(s):  
Regression Model ◽  
Performance Feedback ◽  
Risk Taking ◽  
Fixed Effects ◽  
Interactive Effect ◽  
Strategic Investments ◽  
Managerial Risk ◽  
Managerial Power ◽  
Fixed Effects Regression ◽  
Two Sides

Performance feedback is an important concept to explain managerial risk taking. This paper aims to distinguish between two forms of performance feedback: A performance shortfall can be positively or negatively associated with risk inclination. The first effect arises for a shortfall from aspirations, while the second effect occurs if there is a shortfall from expectations. The hypotheses are tested on a sample of S&P 1500 firms over a period of 19 years (1992–2010) using a fixed effects regression model. The empirical results suggest that missing aspirations increases the likelihood of risk taking in the form of higher strategic investments. Missing expectations in contrast diminishes managerial power and discretion to engage in risk taking and thus lowers strategic investments. The results further support the idea that both effects reinforce each other, suggesting that shortfalls from expectations and aspirations have an interactive effect. By distinguishing between these two sides of performance feedback, this study provides an improved understanding on managerial risk taking. Additionally, this paper highlights how motivation and power interact when analyzing managerial risk taking.

Linked in Life and Death: A Note on the Effect of Parental Death on Sibling Relations in Young and Middle Adulthood

2021 ◽  
pp. 0192513X2098556
Author(s):  
Karsten Hank
Keyword(s):  
Family Relationships ◽  
Fixed Effects ◽  
Family System ◽  
Parental Death ◽  
Spillover Effects ◽  
Three Dimensions ◽  
Life And Death ◽  
Sibling Relations ◽  
Fixed Effects Regression ◽  
Parent Child

Despite the important role of adult parent–child and sibling relations in the family system, only few studies have investigated yet, how the common adult experience of parental death impacts sibling relations. Estimating fixed-effects regression models using four waves of data from the German Family Panel (pairfam; n = 4,123 respondents), the present note focused on changes in three dimensions of adult siblings’ relationship qualities following the first parent’s death. Our analysis revealed a short-term positive effect of parental death on sibling contacts as well as longer-lasting increases in emotional closeness and conflicts. Next to an intensification of sibling relations following the first parent’s death, we also detected significant spillover effects from respondents’ relationship with the surviving parent to their sibling relations. Our analysis thus provided evidence for adult parent–child and sibling relations to be “linked in life and death,” underlining the benefits of jointly analyzing intra- and intergenerational family relationships.

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